Exam 2 Quiz 1 Flashcards
Population Ecology
The study of how and why population size, structure, and distribution patterns change over time
Population definition
a group of individuals of the same species in a particular area so they can potentially interact
*you potentially could interact with everyone here at Luther
Why study populations?
-to understand what factors affect/might be influencing population increase or decrease
-to make predictions about change in populations in the future
-effectively manage populations (wildlife) through hunting and fishing
Distribution
where are members of the population located?
Abundance
how many individuals are there in the population?
Range
the entire geographic area where members of a species are found
*affected by abiotic and biotic factors
-contains overexploitation, habitat loss, and extirpation
Biotic factors that affect bobcat range and therefore abundance and distribution?
1) food availability (PREY): squirrels in forests and rabbits in prairies
2) competition for space (territoriality)
Abiotic factors that affect bobcat range and therefore abundance and distribution?
1) snowfall- bobcats can’t walk on snow far North, lynx have adaptation of big feet and can
2) overexploitation
3)habitat loss
4) extirpation
some ovals hate Eli
Overexploitation
-over harvesting (bobcat fur in midwest)
-not enough being born to replace those killed
-need a sustainable population
Habitat Loss
conversion of forests and prairies in 1800’s to cropland of corn and soybeans ELIMINATED PREY
Extirpation
a localized extinction
-species exists in parts of range but extinct in others
Quantifying Abundance- How do we determine population size?
Census and Sampling
Census
count every individual in the population
-works well for small populations of organisms that are visible and easy to see
Sampling Def
a way to estimate population size of smaller animals that are hard to count, take samples
sample: a subgroup of a population
Types of Sampling
1) Mark-Recapture
2) Plots
3) Quadrants
4)Transects
Mark-Recapture Sampling
mark 100 bobcats, release them, capture 50, 10 of them are already marked, what’s the estimate size of the population?
Lincoln Index: N= Mxn/m
N- size of population
M- # marked initially
n- # of all individuals in 2nd sample
m= # of marked ind from 1st sample in 2nd sample
100x50/10 = 500
Plot Sampling
Used to sample large ares
ex: trees in HRW
-Center point and 8 m circle out from that to get 200 m2
Quadrant Sampling
used for smaller organisms in smaller areas, like plants in a 1m by 1m square
-let us calculate density, percent cover, and biomass
Demography
the study of how population changes over time, space, ect
Models
help is understand and describe change in a population
Population growth model
what affects population size?
births (natality) and immigration increase
deaths (mortality) and emigration decrease
EXPONENTIAL GROWTH
population growth model
dN/dt = rN (population growth rate)
N- number of ind in the population (pop size)
dN- d is the change and dN is the change in population size
t- time (min, sec, years)
dt- change in time
what is “r”? formula?
The per capita rate of increase (per capita means ‘for each ind in the pop’)
r=b-d
b=birthrate or number of births
d= death rate or number of deaths
r= number of individuals added to or subtracted from population per individual in population
r=0
population neither increasing or decreasing, stable
r>0
population increasing, more births than deaths
r<0
population decreasing, more deaths than births
*without immigration will decrease more
exponential growth and r on the chart?
a high ‘r’ will make a steeper j-shaped curve
a small population of fruit flies has the same per capita rate of increase (r) as a large population of fruit flies, if everything else is equal why will the large population add more individuals per unit of time?
-start with 10 fold the amount of population
-at different point in the curve
-higher up on the y-axis for “N” the sooner the line will hit the slope
trends for exponential growth on a graph (3)
N vs t graph- population size over time (assume n>0)
dN/dt vs N graph- population growth rate/size of population
r vs N plot- where r=1/N * dN/dt (rate isn’t changing)
N vs t graph- population size over time (assume n>0)
j shaped curve, N on y axis, t on x axis
-as time increases, population increases, and population rate gets steep er
dN/dt vs N graph- population growth rate/size of population
diagonal line going ip
-dN/dt on y axis, N on x axis
-rate doesn’t change but the size of the population increases
r vs N plot- where r=1/N * dN/dt (rate isn’t changing)
straight line starting halfway up y axis going straight across
-r on y axis, N on x axis
-rate isn’t changing
is the exponential growth model useful?
it’s unrealistic because it is assuming there are unlimited resources, it can’t increase forever
For exponential growth you need founders in a new habitat- what are founders?
ex) endangered elephant, only two left, population begins to roe
What is an “annual restart” and how does it relate to exponential growth?
every year in a population just a few individuals survive through the winter with many resources that decrease as more reproduce and population grows again
-every yr exponential growth occurring
-invasive species
ex) monarchs, bumblebees
Why do populations get “knocked back” (eventually re-bounce and add to exponential growth)
-harsh winter, habitat loss, excessive hunting, disease, hurricane
*creates an empty habitat that then a population can explode in
Why don’t populations grow exponentially forever?
resources are limited
-competition for resources
-these factors affect birth and death rates (b and d)
what is “carrying capacity” in exponential growth?
K= the maximum number of individuals in a population that can be maintained by the available resources
-the “ideal” population size
LOGISTIC GROWTH uses the …
logistic growth model
Logistic growth model formula
dN/dt= r * (k-n/k) *N
*this new addition influences “r”, the individual rate of population growth, Dn/dt
N=population size
In logistic growth, how does (K-N)/K affect r and dN/dt when N is very small?
-if N0=10, K=1,000
1,000-10/1,000
-about 1
*minimal impact on intrinsic per capita rate of increase and population size (almost no impacts)
In logistic growth, how does (K-N)/K affect r and dN/dt when N is very large?
-if N=900 and K=1000
1000-900/1000
-about 0.1
In logistic growth, how does (K-N)/K affect r and dN/dt when N>K?
-you get a negative number which makes population growth decrease
On a logistic growth curve, where is r the slowest and fastest?
slowest at top part of “S” curve, fastest at the bottom start of it
On a logistic growth curve, where is dN/dt largest?
on the going up part of the “S” curve
after population burst and run out of resources, when can ? be positive again?
once N gets below K again
see notes for clicker question
how many trend graphs for logistic growth?
3
N vs t graph (assume r>0)
-dashed K at top, classic “S” curve with N on y axis and t on x axis
dN/dt vs N plot
-frowny face with peak in middle of graph
-dN/dt on y axis and N on x axis
-curve starts at N0 and ends at K
r vs N plot (because of K-N/K)
line starting from top diagonally down to lower right
-r on y axis
-N on x axis
-N0 at 0 on x axis and K at very far right on x axis
Examples of logistic growth
-sheep in Tasmania: carrying capacity in environment can fluctuate year to year based on environment
-fur seals in st Paul island, Alaska: K fluctuates a bit depending on resources
What makes the population growth rate (dN/dt) change as N increases?
dN/dt (rate of population increase) will slow as N increases towards K
Density Dependent Factors
intensity of impact increase as population grows ( as N increases, intensity increases)
-competition for food, shelter, space, mates
-Disease, stress, parasites, predation
*impact is dependent on population size
Fecundity
potential for reproduction, measured by r= per capita rate of increase (# of offspring have)
how many offspring produced
*fecundity decreases as density (N) increases
Density Indepedant Factors
things that impact b and d rates, independent of population size
-can knock back size of a population
ex) doesn’t matter how many people are in FL, hurricane still impacted them
-storms, drought, fire, landslides, volcanoes, severe winters
Why do we use such simple population growth models?
to understand what happens with population
-models make many simplifying assumptions but can also make some general conclusions
Key assumptions for both exponential and logistic growth models
1) models are influenced by initial conditions
ex) what is N0?
2) models assume constant conditions
environmental stochasticity
seemingly “random” environmental conditions that affect the models
at low N, environmental stochasticity may do what?
drop population below min population size (N0) causing extirpation or extinction
Life History Strategies
-how individuals allocate their resources (energy/time) for developmental growth, ability to reproduce, and survival
-diff species make diff choices and this affects their fitness because RESOURCES ARE LIMITED
fitness
ability of an individual to produce viable and fertile offspring in comparison to others in a population
Life History Continuum (r-K continuum)
-its impossible to maximize growth, reproduction, AND survival
-you must choose
r- selection populations
r-selected species: exhibit traits that are more advantageous at low N (high r)
-age at first reproduction is early
-short life span
-short maturation time
-often high Mortality rate
-many offspring produced per reproductive episode
-little or no parental care
-small size of offspring
K- selection populations
K-selected species: exhibit traits at are advantageous at high N near K (very low r)
-age at first reproduction is late
-long life span
-long maturation time
-low mortality rate
-few offspring produced per reproductive episode
-often extensive parental care
-large size of offspring
Population Age Structure has 3 aspects
-life tables
-survivorship curves (Nt vs age)
-age pyramids